Study on Agricultural Industry Chain in Ningxia Hui Autonomous Region based on Average Influence Distance

Yabing Ren*, Xiaomin Li

School of Economics, Anhui University of Finance and Economics, Bengbu, 233030, China

Abstract: With the rapid development of China's economy, agriculture has increasingly highlighted its role in economic growth. In this paper, through the processing of the input-output ratio table of Ningxia hui autonomous region in 2012, the average transmission length (apls) matrix between different departments was introduced, and the theory of economic distance, industrial correlation and minimum support tree was combined to present the agricultural industry chain of Ningxia hui autonomous region more comprehensively from multiple dimensions. Among them, the input coefficient matrix and output coefficient matrix are mainly used to comprehensively evaluate the forward and backward correlation between agriculture and other industries from the perspective of demand and supply. The complete correlation between industries is cumulative, and the economic distance reflects the speed of this cumulative effect. Minimum support tree is an important concept in graph theory, which can make the structure of agricultural industry chain clearer. At the same time, this paper introduces the above three theories to comprehensively and specifically study the problems and advantages existing in the development of the agricultural industry chain of Ningxia hui autonomous region, and accordingly puts forward corresponding industrial policies to promote the agricultural development of Ningxia hui autonomous region and enhance its competitiveness in the whole country.

Keywords: Agricultural industry chain; Input-output table; Average economic distance; Theory of minimum spanning game